Grape: Making Fashion Discovery Easy and Enjoyable
From Concept to 70,000 Active Users in 12 Months
From Concept to 70,000 Active Users in 12 Months
Grape, a visionary startup, approached us with an ambitious goal: to create a platform that would revolutionize how fashion enthusiasts discover and engage with trending styles. Their vision was to blend social media dynamics with e-commerce functionality in a seamless, mobile-first experience.
The fashion tech space is notoriously competitive, with established players dominating user attention. Grape needed a unique, compelling platform that could not only attract users but also keep them engaged in a market where app abandonment rates hover around 80% within the first week.
We developed a machine learning algorithm that curates a personalized style feed for each user, combining trending items, user-generated content, and shoppable looks. This increased user engagement by 150% compared to industry averages, with users spending an average of 25 minutes per day on the app.
We used React Native to build a single codebase for both iOS and Android, ensuring feature parity and real-time synchronization. This reduced development time by 40% and increased cross-device usage by 60%, with 78% of users actively using both mobile and web versions.
We re-architected the backend using a microservices approach on AWS, implementing auto-scaling and caching strategies. This reduced average load times to under 500ms and allowed the platform to smoothly scale to almost 100,000 users without significant infrastructure changes.
Built for Performance and Scalability
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